Thermal therapy ablation detection (20) uses medical diagnostic ultrasound. Since acoustically measured information becomes unreliable for temperature estimation at a temperature close to the time at which treatment is complete, the information is instead or additionally used to detect (20) a tissue condition indicating sufficient treatment, such as detecting (20) cell death. Using multiple different types of parameters as an input and/or a machine-learned classifier, the completion of treatment from a tissue alteration recognition is detected (20) by using the transition that makes temperature estimation less reliable. A method for thermal therapy ablation detection comprises the following steps: (12) acquiring ultrasound data from a tissue scanning of a patient being thermally treated with a ultrasound system (14) inducing information from the ultrasound data by a processor (62) of the ultrasound system (20) detecting a transition or a death time point by the processor (62) of the ultrasound system applying the classifier based on an input of information and outputting (22) an indicator of the time point.COPYRIGHT KIPO 2016열치료 절제 검출(20)은 의료 진단 초음파를 사용한다. 음향적으로 측정된 정보가 처치가 완료되는 시간에 근접한 온도에서 온도 추산에 부적합해지기 때문에, 세포사 검출(20) 같은 충분한 처치를 나타내는 조직 상태를 검출(20)하기 위해 정보가 대신 또는 추가로 사용된다. 다수 유형의 파라미터를 입력 및/또는 기계 학습 분류기로서 사용함으로써, 덜 신뢰적인 온도 추산을 수행하는 전이를 사용하여 조직 변경 인지로부터 처치의 완료가 검출(20)된다.
